Synthetic data in cancer and cerebrovascular disease research: A novel approach to big data.
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| Title: | Synthetic data in cancer and cerebrovascular disease research: A novel approach to big data. |
|---|---|
| Authors: | Lun, Ronda1,2,3 (AUTHOR) rlun@ucalgary.ca, Siegal, Deborah4,5 (AUTHOR), Ramsay, Tim4 (AUTHOR), Stotts, Grant3 (AUTHOR), Dowlatshahi, Dar1,2,3 (AUTHOR) |
| Source: | PLoS ONE. 2/7/2024, Vol. 19 Issue 2, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 175305776 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175305776 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0295921 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Synthetic data in cancer and cerebrovascular disease research: A novel approach to big data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lun, Ronda – PersonEntity: Name: NameFull: Siegal, Deborah – PersonEntity: Name: NameFull: Ramsay, Tim – PersonEntity: Name: NameFull: Stotts, Grant – PersonEntity: Name: NameFull: Dowlatshahi, Dar IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 02 Text: 2/7/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 19 – Type: issue Value: 2 Titles: – TitleFull: PLoS ONE Type: main |
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